2007:Query by Singing/Humming

Status

This is only a very basic draft version of a task proposal. Once more people show interest we can fill in the details.

The goal of the Query-by-Singing/Humming (QBSH) task is the evaluation of MIR systems that take as query input queries sung or hummed by real-world users. More information can be found in:

• MIREX2006 QBSH Task Proposal
• MIREX2006 QBSH Task Discussion

Please feel free to edit this page.

Query Data

The MIREX2006 corpus contributed by Roger Jang should be included:

MIREX2006 QBSH copurs

To build a large test set which can reflect real-world queries, it is suggested that every participant makes a contribution to the evaluation corpus. We can provide the record tool and midi utilities if necessary.

Task description

Classic QBSH evaluation:

• Input: human singing/humming snippets (.wav)
• Database: ground-truth and noise midi files(which are monophonic)
• Output: candidate list.
• Evaluation: Mean Reciprocal Rank (MMR) and Top-X hit rate.

Rainer Typke also suggests a hybrid symbolic/audio query by humming task which combines a few different algorithm modules (like mono/poly phonic transcriber and rhythm/melody matcher) and evaluates them in a more complex database composed of polyphonic audio files. It could be further discussed.

Participants

If you think there is a slight chance that you might want to participate, please add your name and e-mail address to this list

• Xiao Wu (xwu at hccl dot ioa dot ac dot cn)
• Maarten Grachten (maarten dot grachten at jku dot at)
• Jiang Danning (jiangdn at cn dot ibm dot com)
• Niko Mikkila (mikkila at cs dot helsinki dot fi)